Job
- Level
- Experienced
- Job Field
- IT, Data, DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 65.000 € gross/year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will enhance AI-powered features for the world's leading printing app, optimize ML models for mobile platforms, and deploy ML models as APIs and services.
Job Technologies
Your role in the team
- Enhance the user experience with AI-powered features in the number 1 printing app in the world, enabling customers to create personalized print products with minimal effort.
- Design and implement data pipelines to collect, clean, and preprocess structured and unstructured data.
- Build and maintain cloud-based ML infrastructure, and improve and tune existing model prototypes.
- Optimize machine learning models for mobile hardware constraints and convert them to appropriate formats (ONNX, CoreML, etc.) based on deployment targets.
- Deploy models as APIs, services, or embedded modules into the backend, collaborating with backend and frontend developers to ensure seamless integration.
- Implement monitoring and feedback loops for deployed models.
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Our expectations of you
Education
- Bachelor's or Master's degree in Computer Science, Mathematics, or a related field.
Qualifications
- Strong Python programming skills and ability to investigate & debug issues with models running on backend (JVM) or mobile platforms (Swift/Kotlin).
- Knowledge of model compression and quantization techniques.
- Proficient in containerization with Docker.
- Strong problem-solving skills and the ability to work cross-functionally.
- Vertrautheit mit genetischen Algorithmen und Methoden zu deren Optimierung.
- Vertrautheit mit Reinforcement-Learning-Algorithmen.
Experience
- 3+ years of experience as an ML Engineer / AI Engineer / ML Ops Engineer / Data Scientist / another role with similar responsibilities.
- Experience deploying ML models on mobile platforms and/or web.
- Experience with cloud platforms and cloud compute resources management (especially AWS EC2 or GCP Compute Engine).
- Experience with training the models for the classical computer vision problems, like image classification, object detection, image denoising, and/or saliency detection.
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What we offer
- A fair annual gross salary starting at € 65,000. Our final offer depends on your experience and qualifications.
- Vacation goals: 25 days off per year, plus 1 extra day for every year you stay (up to 5 extra days!).
- Work your way: enjoy a hybrid working model with 40% home office days and flexible hours (core hours: 10am-4pm Mon-Thu; and 10am-2pm Fri).
- Daily fuel: breakfast, Italian-style coffee, tea, and fresh daily lunches in our in-house eatery, with options for most dietary preferences.
- Go places: we reimburse your public transport card for Vienna.
- Team first: Join our annual team-building Journi to exciting destinations.
- Make your life easier with a company MacBook, also available for personal use.
- Boost your German: weekly in-house lessons in small groups.
- Special treatment: enjoy a premium membership on all Journi products.
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Benefits
Work-Life-Integration
Higher Take-Home Pay
Food & Drink
Health, Fitness & Fun
Topics You Will Work On
Job Locations
About Your Employer
journi GmbH
Wien
Do you love to travel? So does Journi GmbH. We're a startup that develops apps for iOS, Android and the web to help make your personal travel experiences unforgettable. Our apps have received multiple awards, like Mobile Monday's "Best App" award, and have been featured by TNW, Adobe Behance and Apple as some of the best new apps around.
Description
- Company Type
- Startup
- Working Model
- Hybrid, Onsite
- Industry
- Sports, Leisure
Machine Learning Ops Engineer
- Salary
- from 65.000 € gross/yearEstimated net salary based on the gross salary in the job ad.from 43.766 € net/year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
